21 results about "Market change" patented technology

The invention relates to the technical field of intelligent pricing, in particular to an intelligent pricing management system based on machine learning and data analysis, and aims to improve the purity and consistency of data and lay an accurate data foundation for subsequent analysis through cleaning and format unified processing of market original data and elimination of redundant information. Through a non-dominated sorting genetic algorithm, the influence weight of each data point is analyzed, comprehensive quantitative modeling of price influence factors is realized, a model basis with better interpretation and adaptability is provided for price prediction, and market changes and competition patterns are dynamically captured by combining a linear regression model, so that the price prediction accuracy is improved. And the price is ensured to be dynamically and accurately adjusted along with the market through a fine adjustment strategy, the dynamic matching capability between the price and the market fluctuation is realized, the adaptability of the strategy under different market conditions is verified and optimized through a multi-scene simulation test and market feedback monitoring, and the high efficiency and stability of the price adjustment strategy in practical application are ensured.

The invention discloses a configurable Lego activity configuration device based on multiple tasks, which adopts a modularized and Lego type activity configuration mode, so that the development cycle of a system is greatly shortened, and tenants can online new marketing activities without waiting for long-time system development and testing. The tenants can flexibly adjust task rules, reward schemes and assessment indexes directly on a visual front-end interface by dragging, configuring and combining various preset activity components according to own operation requirements, so as to quickly respond to market changes and strategy adjustment. For example, when the order quantity of a certain operation area is increased sharply, the tenant can configure the reward activity matched with the tenant in real time; or customized tasks are launched on specific holidays and festivals, more drivers are attracted to participate, and the operation efficiency is improved. According to the mode, the dependence on professional development resources is reduced, and the agility and the self-service capability of the business are remarkably improved.

The invention discloses a virtual power plant coupling multi-market operation optimization and risk evaluation method, and relates to the technical field of virtual power plants. Comprising the steps of 1, establishing a resource model in a virtual power plant; 2, establishing corresponding market models for different participated markets, and establishing an interface model of the virtual power plant and the markets; 3, designing a virtual power plant overall operation optimization model; 4, establishing a risk evaluation model, and considering various risks possibly faced by the virtual power plant participating in the market; 5, coupling the overall operation optimization model and the risk evaluation model to form a comprehensive model; 6, a real-time scheduling system is established, and market changes and resource states are monitored; and 7, performing system simulation verification by using actual data, adjusting model parameters, and optimizing an algorithm. According to the invention, the overall operation problem of the virtual power plant in a complex market environment is solved, including the technical problems in the aspects of resource scheduling, market transaction and risk management.

The invention relates to the technical field of electricity price prediction, in particular to an electricity market long-period simulation-based medium and long-term price prediction method, which comprises the following steps of S1, market basic data acquisition: acquiring whole market basic data information; s2, unit commitment model construction and day-ahead simulation: constructing a unit commitment model considering power grid security constraints; s3, economic dispatching model construction: constructing an economic dispatching model considering power grid security constraints; s4, node marginal electricity price and load flow calculation: node marginal electricity price calculation and load flow calculation are carried out; s5, uncertainty factor evaluation: the uncertainty factors existing in the electricity market are evaluated; s6, analyzing technical performance and economic indexes: analyzing statistics of various technical performance and economic indexes of the system; according to the method, the stability and the reliability of an enterprise under an emergency situation are enhanced, so that the enterprise can better adapt to market changes, and the scientificity and the accuracy of decision making are improved.

The invention discloses an automatic marketing strategy generation system based on intelligent service, and relates to the technical field of intelligent marketing, and the system comprises a basic template layer, a dynamic adaptation layer, a creative generation layer, and a multi-target strategy selection layer. Through a constructed hierarchical strategy engine of a basic template layer, a dynamic adaptation layer, a creative generation layer and a multi-target strategy selection layer, a single strategy generation mode of a traditional fixed template is broken through, the basic template layer uses an industry marketing knowledge base to provide a standardized strategy generation starting point, the dynamic adaptation layer accesses multi-source heterogeneous data in real time, and the multi-target strategy selection layer is used for providing a standardized strategy generation starting point. According to the method, a creative generation layer is established, strategy parameters are dynamically corrected, market changes can be quickly responded, the creative generation layer automatically generates personalized marketing content by means of a multi-modal generation technology, and a gradient type strategy generation mode is formed from basic framework establishment to real-time parameter adjustment to creative content output through the dynamic layered architecture. And a brand new technical path is provided for marketing strategy generation.

The invention relates to a product subversive innovation opportunity generation method based on scene innovation, and the method comprises the steps: firstly determining the maturity of a product through a Gompertz curve, and judging the opportunity of a subversive innovation window; secondly, performing mainstream product scene construction, performing formalized expression on a scene based on an extension principle, and forming a modification rule and an evolution strategy of scene elements in combination with characteristics of subversive innovation so as to perform scene evolution to mine a subversive opportunity scene; secondly, positioning a functional difference region in the opportunity scene based on the sub-scene and the compatibility function, and deeply digging user requirements in the subversive opportunity scene by using a fishbone diagram method to find a product subversive innovation opportunity; and finally, forming a judgment criterion of the product subversive innovation opportunity according to the characteristics of various types of subversive products so as to judge the type of the innovation opportunity. According to the method, enterprises can be helped to systematically identify high-value subversive innovation opportunities, and the limitations that a traditional method is single in dimension and insensitive to market changes are overcome by integrating multi-dimensional scene elements.

The invention provides an AI-based product originality automatic generation method and terminal, and the method comprises the steps: predefining a product target, and collecting data from multiple channels according to the product target; respectively carrying out text preprocessing and image preprocessing on the collected text data and image data; training an AI creative generation model based on the preprocessed text data and image data; and automatically generating the final originality of the product in real time by adopting the trained AI originality generation model according to requirements and parameters input in real time. According to the method, inspiration can be automatically drawn from a large number of design cases, and personalized and innovative creative design meeting the market trend and user requirements is automatically generated through the AI creative generation model, so that the innovation efficiency and market competitiveness of product design are improved, the bottleneck of traditional manual creative generation is overcome, time and cost are reduced, and the method is suitable for popularization and application. The speed of responding to market changes is increased, and the systematization and data support capability of product design is enhanced.

The invention belongs to the technical field of stepped pricing systems, particularly relates to a stepped pricing system based on a dynamic packaging specification, and aims to solve the problems that consumers purchase unnecessary commodities, waste is generated and the cost is high due to the fact that flexible matching and corresponding pricing cannot be carried out according to specific requirements of the consumers in the prior art. In order to solve the problems that in the prior art, the market price is limited, and the sales potential and profit margin of merchants are limited, the invention provides the following scheme that the system comprises a user module and a menu analysis module, and the user module is connected with a menu input module, through precise pricing and personalized services, the market subdivision requirements can be better met, more consumers can be attracted, and the market competitiveness is improved. In addition, the system can quickly respond to market changes and optimize product combination and pricing strategies through intelligent design and data analysis capability, so that the system stands out in fierce market competition, and more business opportunities and profit growth points are brought to merchants.

The application relates to the technical field of market strategy generation of competitors, and discloses a market strategy generation method and device of competitors, electronic equipment and a storage medium, wherein the method comprises the following steps: through integration of multi-platform real-time data and construction of a dynamic user portrait, the influence of market changes on user behavior can be accurately captured, the limitations of a traditional prediction model can be effectively overcome, a method combining causal reasoning and dynamic modeling is adopted, market competition situations can be intelligently analyzed, an optimal response strategy can be automatically generated, the response time is greatly shortened, and finally, through an intelligent strategy generation mechanism, a target market strategy for the target competitor is generated, and the efficiency and precision of the decision-making process are realized.The application has the beneficial effects that the strategy generation efficiency is significantly improved, the scientificity and applicability of the strategy scheme are ensured, and reliable technical support is provided for enterprises to maintain a competitive advantage in a dynamic market environment.

The application discloses an automatic marketing strategy generation system based on intelligent service, and relates to the technical field of intelligent marketing.The system comprises a basic template layer, a dynamic adaptation layer, a creative generation layer and a multi-target strategy selection layer.A hierarchical strategy engine is constructed by the basic template layer, the dynamic adaptation layer, the creative generation layer and the multi-target strategy selection layer, thereby breaking through the single strategy generation mode of a traditional fixed template.The basic template layer utilizes an industry marketing knowledge base to provide a standardized strategy generation starting point.The dynamic adaptation layer accesses multi-source heterogeneous data in real time and dynamically corrects strategy parameters, and can quickly respond to market changes.The creative generation layer automatically generates personalized marketing content by means of a multi-modal generation technology.This dynamic layered architecture forms a gradient strategy generation mode from the construction of a basic framework to the real-time parameter adjustment and then to the creative content output, thereby providing a brand-new technical path for marketing strategy generation.

The invention is suitable for the technical field of artificial intelligence, and provides a content creation method and system based on new media marketing, and the method comprises the steps: firstly obtaining the evaluation information of a plurality of users of a target commodity, then accurately determining the information of a content theme set according to the evaluation information of the plurality of users, and carrying out the recognition of the content theme set. And finally, quickly generating marketing content information according to the content theme set information and a preset video material library. The marketing content can be automatically generated on the premise of fully considering market feedback and consumer evaluation, the creation content is ensured to be closer to the demand and expectation of the target audience, the correlation and effectiveness of the content are improved, the market competitiveness of the brand can be improved, the time and labor cost are greatly saved, and the market competitiveness of the brand is improved. And the marketing content of the enterprise can more flexibly respond to the market change and the dynamic adjustment of the consumer demand.

The invention discloses a dynamic demand response method based on VPP participating in auxiliary service in a market environment, and relates to the technical field of virtual power plants. Comprising the following steps: 1, modeling a dynamic demand response problem of a virtual power plant participating in auxiliary service, and defining variables and parameters; 2, modeling is carried out on the uncertainty; 3, constructing a double-layer optimization model between the VPP income and the user electricity purchase cost; step 4, formulating constraint conditions, including constraints in the aspects of power market rules, coordinated operation requirements of VPP internal distributed energy and power purchase demands of users; 5, solving a double-layer optimization problem by using an optimization algorithm; and step 6, designing a dynamic demand response strategy, so that the VPP can perform flexible adjustment according to the market change, the user demand and the system condition real-time information. According to the method, the problem of dynamic demand response when the virtual power plant VPP participates in the auxiliary service in the market environment is solved.

We provide the system. [Solution] A device that collects consumer data and analyzes consumer intentions, emotions, and trends using natural language processing technology, A device that proposes optimal advertising transmission and budget management based on past advertising activity data, A device that monitors the actions of competing companies and predicts market changes, A device that generates customized messages for each customer, A device that analyzes purchasing trends based on sales history and provides personalized product recommendations, A device for evaluating the effectiveness of a marketing strategy and suggesting the next strategy, A system that includes this.

An object of the system according to the embodiment is to identify a success factor of a business idea, make a strategic recommendation, and respond to a change in the market in real time.SOLUTION: A system includes a business idea providing part, a data analysis part, a strategy recommendation part, a successful case analysis part, and a market monitoring part. The business idea providing unit provides a business idea. The data analysis section analyzes the business idea provided by the business idea providing section. The strategy recommender provides strategic recommendations based on the data analyzed by the data analyzer. The success case analysis part specifies a success factor on the basis of the success case analyzed by the data analysis part. The market monitoring component monitors market changes and competition and updates the advice in real time.SELECTED DRAWING: Figure 1

A system is provided.SOLUTION: A system comprising: means for inputting an idea of a new project by a user; means for searching and retrieving similar failures and successes from a historical database using generated AI; means for analyzing the retrieved information to identify causes of failures and factors of successes; means for generating and presenting strategic recommendations to the user based on the identified information; and means for monitoring market changes and competition status and updating advice in real time.SELECTED DRAWING: Figure 1

The invention relates to the technical field of enterprise information management, in particular to an enterprise information management system based on artificial intelligence, and is used for solving the problems that an enterprise cannot adjust a strategy in time, resource configuration is difficult to optimize and economic benefits are reduced due to the fact that accurate future sales trend prediction cannot be provided in the prior art. According to the method, the historical operation data is analyzed through the sales trend prediction module, the comprehensive feature vector XQT is generated, and the machine learning model is trained, so that accurate future sales trend prediction is provided, the accuracy of decision making is improved, the flexibility and adaptability of enterprises to deal with market changes are enhanced, and the market competitiveness is improved. The rapid processing and feedback mechanism of the real-time operation data enables enterprises to adjust strategies in time, optimize resource configuration, reduce cost and improve economic benefits.

The invention relates to a distributed energy resource regulation and control method and system considering market demands, and the method comprises the following steps: carrying out the clustering analysis of the electrical characteristic data, geographic position data and available time data of each distributed energy resource, and obtaining a distributed energy resource characteristic classification result; based on a distributed energy resource characteristic classification result, constructing a distributed energy resource aggregator clearing model; solving the distributed energy resource aggregator clearing model through an optimization algorithm to obtain a distributed energy resource combination participating in the market transaction; and calculating the final payment price of the user and the actual contribution degree of the distributed energy resources in the electricity market based on the optimal distributed energy resource combination participating in the market transaction. A market transaction combination is determined through an optimization algorithm, the capability of dealing with market changes is enhanced, all parties are promoted to actively participate in market activities through a pricing mechanism integrating three aspects of marginal cost, time contribution and flexible contribution, and a fair competition environment is ensured.

The invention relates to the technical field of competitive product market strategy generation, and discloses a competitive product market strategy generation method and device, electronic equipment and a storage medium, and the method comprises the steps: integrating multi-platform real-time data and constructing a dynamic user portrait, can accurately capture the influence of market changes on user behaviors, and improves the user experience. The limitation of a traditional prediction model is effectively overcome, a method of combining causal reasoning and dynamic modeling is adopted, the market competition situation can be intelligently analyzed, the optimal coping strategy can be automatically generated, the response time is greatly shortened, finally, the target market strategy for the target competitive product is generated through an intelligent strategy generation mechanism, and the market competitiveness of the target competitive product is improved. And high efficiency and precision of the decision-making process are realized. The method has the beneficial effects that the strategy generation efficiency is remarkably improved, the scientificity and applicability of the strategy scheme are ensured, and reliable technical support is provided for an enterprise to maintain competitive advantages in a dynamic market environment.

The invention relates to the technical field of adjustable load cooperative control, and discloses an adjustable load cooperative control system, method and device and a medium, and the system solves multiple problems in the prior art through a cloud strategy generation module, an edge cooperative execution module, a response verification module and a feedback updating module. The cloud strategy generation module efficiently collects power market clearing results and user baseline load data, carries out accurate integration and analysis, avoids the problems of data inaccuracy and delay, and improves the accuracy of a control strategy. In the aspect of control strategy generation, the strategy matching unit cooperates with the rule base, the rule matching unit and the dynamic updating unit to ensure flexible adaptation to market changes. The rule base stores various preset rules, rule matching is rapid and accurate, dynamic updating is adjusted in real time according to market conditions, and it is guaranteed that strategies are timely and effective.

According to the cost-reducing and benefit-increasing method based on the supply chain system provided by the invention, real-time acquisition, processing and transmission of data in each link of the supply chain are realized, the timeliness and accuracy of the data are ensured, and technical support is provided for quickly responding to market changes; an integrated collaborative management platform module is constructed, real-time sharing and collaboration of information of all parties of the supply chain are achieved, and transparency and collaborative efficiency of the supply chain are improved. A big data analysis and artificial intelligence module is utilized to carry out deep mining and analysis on supply chain data, so that accurate decision support and trend prediction are provided, and the market insight and competitiveness of enterprises are enhanced; and a data encryption and privacy protection module is designed, so that the security of an enterprise during sensitive data processing is ensured, and the worry of the enterprise on data leakage is eliminated. According to the invention, the modular design is adopted, so that the functional modules can operate independently and work cooperatively, and meanwhile, the system has good expandability and can meet individual requirements of different enterprises.

The invention relates to the technical field of intelligent markets, and particularly discloses an intelligent manufacturing and marketing integrated intelligent market subdivision optimization method, which comprises the following steps: S1, data acquisition and integration: widely collecting market data, a data source covering sales records of an e-commerce platform, user feedback and discussion on social media, and consultation and complaint records of a customer service center; according to the invention, multi-source heterogeneous data is widely collected, advanced technology is applied to process data, a real-time monitoring system is deployed to adapt to market changes, an information sharing mechanism is established to realize manufacturing and marketing collaboration, valuable features are extracted through comprehensive data collection and processing, the market subdivision accuracy is improved, resource waste can be avoided through manufacturing and marketing collaboration, and the market competitiveness is improved. Through analysis of specific transaction amount and consumption frequency data, customer groups can be accurately divided, adaptive products and services are provided for different groups, satisfaction and loyalty are improved, and sustainable development of enterprises is promoted.